Industry digitalisation analysis

Digitalization of the retail trade of food and everyday consumer goods

Demand and Validity Helps Plan Addition

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

84/100
Biggest challenge
Product and labeling data are not always the same across all channels
Biggest opportunity
Timely extra shelves and fewer write-offs

Operating model

Food stores replenish the stock according to local demand, promotions and delivery schedule. Online order additionally requires collection of real-life items and matching possible changes.

Shop from which online orders are collected

The same goods are used by arriving buyers and order collectors. Workers need to see reservations and actual availability on shelves.

Online trading from a separate warehouse

Orders are collected in a warehouse inaccessible to buyers. The plan is combined with assembler capacity, temperature zones and delivery schedule.

Market context

The grocery store combines daily shelf replenishment, promotions and limited-use items. The team executing online orders additionally needs a reliable balance and an agreed upon method of change with the buyer. Customer's trust is affected by whether he finds regular goods and receives the order as approved.

  • Shelf and pantryThe total balance of the store does not indicate whether the item is accessible to the buyer, so the replenishment task must be received by the employee.
  • Promotions and expiry datesOrder quantities must take into account the stock's time, actual demand and the validity of the goods in hand.

The basic operating model

01

02

03

04

05

06

07

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive summary

The availability of goods is worth evaluating along with validity and write-offs. The store employee needs specific replenishment or verification tasks, and the planner needs their results.

Related digitalisation topics

Multichannel Trading PlatformProduct information managementStock ManagementCustomer Loyalty System

Connect the shelf signal with the actual action of the employee